✦ Luna Orbit — Data & Analytics

Principal Data Analyst - Enterprise Services

at Discover Financial Services

📍 2 Locations Unknown 💰 $131K – $149K USD / year Posted April 15, 2026
Salary $131K – $149K USD / year
Type Not Specified
Experience senior
Exp. Years 5+ years (Bachelor's +) or 3+ years (Master's)
Education Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics; or Master's Degree plus at least 3 years performing data analytics (expected before scheduled start date)
Category Data & Analytics

The Principal Data Analyst will innovate and build well-managed data solutions to tackle business problems across Enterprise Services. The role combines business intelligence (consulting, dashboards, data visualization) with data management (metadata, lineage, data quality monitoring, and access governance) using AWS and scripting languages.

  • Use Open Source/Digital technologies to mine complex data sources
  • Build data solutions and self-service frameworks for data consumers
  • Design and develop tools, techniques, metrics, and dashboards
  • Drive data quality management (metadata, lineage, business definitions) and reporting
  • Collaborate with tech teams to manage security mechanisms and data access governance

The technical scope includes data mining from complex sources, developing analytics tooling and self-service data frameworks, and implementing data quality management using metadata and lineage. Core stack includes Python, R, Spark, SQL, and Amazon Web Services (AWS services), along with business intelligence visualization tooling for dashboards.

The ideal candidate is a Principal-level data analyst with 5+ years of data analytics experience, including 3+ years using at least one scripting language and building insights with a business intelligence visualization tool. They have strong experience with AWS (Amazon Web Services) services and can drive innovation, business intelligence (dashboards/metrics), and data quality management (metadata, lineage, and governance).

data analyticsat least 3 years of experience working with at least one scripting languageat least 3 years of experience utilizing a business intelligence visualization toolat least 3 years of experience in queryinganalyzing and working with data languages and platformsexperience utilizing and developing within AWS servicesscripting experience in PythonRSparkand SQL
Master's Degree in a ScienceTechnologyEngineeringMathematics disciplineat least 4 years of experience coding in PythonRSparkor SQL (truncated in posting; keep only explicit part)
PythonRSparkSQLAmazon Web ServicesAWS servicesdata warehousesdashboards
data analyticsopen source/digital technologiesdata miningdata solutionsself-service frameworksbusiness intelligencemetricsdashboardsdata visualizationdata quality management principlesmetadatalineagebusiness definitionssecurity mechanismsdata access governancedata quality monitoringPythonRSparkSQLdata warehouses/SQLunstructured dataAWS servicesquerying and analyzing data
data analyticsinnovation using Open Source/Digital technologiesdata miningdata solutionsdata tools and capabilitiesself-service frameworks for data consumersbusiness intelligenceconsultancydesigning and developing toolsmetricsdashboardsdata visualizationdata managementdata quality management principlesmetadatalineagebusiness definitionssecurity mechanismsdata access governancemonitoring and reporting on data qualityscripting experience in Pythonscripting experience in Rscripting experience in Sparkscripting experience in SQLdata warehouses/SQLunstructured dataqueryinganalyzing and working with data languages and platformsAWS servicesbusiness intelligence visualization toolAmazon Web Services services
cross-functional collaborationconsultative communicationtranslating business needsability to explore and quickly grasp new technologiesproblem-solvingdriving analysis for meaningful insightscommunication via dashboards/insights
Industry Banking
Job Function Drive enterprise data analytics innovation, business intelligence, and data management with AWS.
Role Subtype Data Analyst
Tech Domains Python, SQL / PostgreSQL, Azure, Amazon Web Services, Kubernetes, ITSM / ServiceNow
Principal Data Analyst - Enterprise Servicesdata analystEnterprise Servicesdata analyticsinnovationBusiness IntelligenceData Managementdata quality managementmetadatalineagebusiness definitionsdata access governancesecurity mechanismsdata quality monitoringdata quality reportingPythonRSparkSQLAWSAmazon Web ServicesAWS servicesdata warehouses/SQLunstructured databusiness intelligence visualization tooldashboards

At least 3 years of experience working with at least one scripting language, At least 3 years of experience utilizing a business intelligence visualization tool, At least 3 years of experience in querying, analyzing and working with data languages and platforms, Experience utilizing and developing within AWS services

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